Thanks

So the assumption is that one cannot perform split on DataStream[String]
directly?

Dr Mich Talebzadeh



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On Mon, 30 Jul 2018 at 21:54, Chesnay Schepler <ches...@apache.org> wrote:

> You define a flatMap function that takes a string, calls String#split on
> it and collects the array.
>
> On 30.07.2018 22:04, Mich Talebzadeh wrote:
>
>
> Hi,
>
> I have Kafka streaming feeds where a row looks like below where fields are
> separated by ","
> I can split them easily with split function
>
> scala> val oneline =
> "05521df6-4ccf-4b2f-b874-eb27d461b305,IBM,2018-07-30T19:51:50,190.48"
> oneline: String =
> 05521df6-4ccf-4b2f-b874-eb27d461b305,IBM,2018-07-30T19:51:50,190.48
> scala> oneline.split(",")
> res26: Array[String] = Array(05521df6-4ccf-4b2f-b874-eb27d461b305, IBM,
> 2018-07-30T19:51:50, 190.48)
>
> I can get the individual columns as below
>
> scala>            val key = oneline.split(",").map(_.trim).view(0).toString
> key: String = 05521df6-4ccf-4b2f-b874-eb27d461b305
> scala>            val key = oneline.split(",").map(_.trim).view(1).toString
> key: String = IBM
> scala>            val key = oneline.split(",").map(_.trim).view(2).toString
> key: String = 2018-07-30T19:51:50
> scala>            val key = oneline.split(",").map(_.trim).view(3).toFloat
> key: Float = 190.48
>
> Now when I apply the same to dataStream in flink it fails
>
> val dataStream =  streamExecEnv
>        .addSource(new FlinkKafkaConsumer011[String](topicsValue, new
> SimpleStringSchema(), properties))
>
>
> *dataStream.split(",") *
> [error]
> /home/hduser/dba/bin/flink/md_streaming/src/main/scala/myPackage/md_streaming.scala:154:
> type mismatch;
> [error]  found   : String(",")
> [error]  required:
> org.apache.flink.streaming.api.collector.selector.OutputSelector[String]
> [error] dataStream.split(",")
> [error]                  ^
> [error] one error found
> [error] (compile:compileIncremental) Compilation failed
>
> What operation do I need to do on dataStream to make this split work?
>
> Thanks
>
> Dr Mich Talebzadeh
>
>
>
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